FinovateFall展示人工智能和银行技术（英）2024
AI智能总结FinovateFall Showcases AI and Bank Tech
Conference Overview
- Attendees: Over 2,000 senior-level attendees, with more than half from banks and financial institutions.
- Duration: Three-day annual conference in New York City, held from September 9 to September 11.
- Key Themes: Banking, compliance, generative AI, instant payments, and open banking.
Deal Environment
- Fintech VC Investment:
- Deal Value: $9.8 billion in Q2 2024, up 64.9% YoY and 104.8% QoQ.
- Deal Count: 503 deals recorded in Q2 2024, down 6.5% YoY but up 4.6% QoQ.
- Notable Deals:
- GCash’s $788.4 million late-stage round.
- Stori’s $212.0 million late-stage round ($105.0 million in equity and $107.0 million in debt).
- Finally’s $200.0 million Series B ($50.0 million in equity and $150.0 million in debt).
- New Fintech Funds:
- Pruven Capital’s $378.5 million Fund II.
- MiddleGame Ventures’ Fund III ($57.6 million raised out of a $166.2 million target).
- 13books Capital’s $154.4 million Capital Fund II.
- Luge Capital’s $70.7 million Fund II.
AI in Fintech
- Core Fintech Sectors: Payments, lending, CFO stack, regtech, and wealthtech remain attractive to investors.
- High-Funding Subsectors:
- Alternative lending (much of which is debt funding).
- Payments.
- Capital markets.
- AI Trends:
- Task Automation: AI is becoming a norm in fintech, with enterprises using AI for sales, marketing, customer support, coding, knowledge management, data processing, etc.
- Improving Models: Cost reductions and improvements in AI models are significant. For instance, the cost to power one of getAIreports.com's AI products has dropped from up to $1.50 to about $0.30.
- Website Traversal: AI is increasingly adept at traversing and taking action on websites, which could lead to significant automation opportunities.
- Latency: Dramatic improvements in AI latency, with Odin AI now building products assuming continued cost and latency improvements.
Bank Tech and RegTech
- Large Banks: Adopting AI faster due to mature technology strategies, well-resourced teams, and capital allocation.
- Small Banks: Slower adoption due to regulatory concerns and the need for CEO-level support.
- Open-Source Models: Growing rapidly, with benefits like enhanced data privacy and reduced reliance on large, closed-source foundation models.
Notable Startups and Demos
- GPTadvisor: Automating wealth management tasks and workflows.
- Odin AI: Using AI to automate bank workflows.
- Nest Bank: Showcased an AI-powered financial assistant for customer support and analysis.
- CardLift: Using AI to traverse e-commerce websites and update card information.
Overall, FinovateFall demonstrated significant advancements in AI and fintech, highlighting both the growing investor interest and the practical applications of these technologies in banking and financial services.
